[hpc-announce] IBDC 2015: CFP - The 2015 International Workshop on Big Data in Crowdsensing

[Fan Wu]

We apologies for possible cross-posting, and appreciate your help of
distribute this CFP to your colleagues.

 

2015 International Workshop on Big Data in Crowdsensing 

IBDC 2015

August 26 - 28, 2015, Dalian, China

Website:  <http://www.cs.sjtu.edu.cn/~fwu/IBDC2015/>
http://www.cs.sjtu.edu.cn/~fwu/IBDC2015/

 

Crowdsensing is a new paradigm of applications that enables the ubiquitous
mobile devices with enhanced sensing capabilities, such as smartphones and
wearable devices, to collect and to share local information towards a common
goal. Most of the smart devices are equipped with a rich set of cheap and
powerful sensors, e.g., accelerometer, digital compass, GPS, microphone, and
camera. These sensors can be utilized to monitor mobile users' surrounding
environment, and infer human activities and contexts. In recent years, a
wide variety of applications have been developed to realize the potential of
crowdsensing throughout everyday life, such as environmental monitoring,
noise pollution assessment, road and traffic condition monitoring, road-side
parking statistics, and indoor localization. The data acquired through
crowdsensing exhibits a number of important characteristics, such as large
in scale (Volume), fast speed of generation (Velocity), different in forms
(Variety), and uncertain in quality (Veracity). The 4Vs of crowdsensing data
make it extremely interesting and challenging in designing participatory and
opportunistic sensing technologies, human centric data management and
analytics models, and novel visualization tools.

 

The objective of this workshop is to invite authors to submit original
manuscripts that demonstrate and explore current advances in all aspects of
big data management in crowdsensing environments. The workshop solicits
novel papers on a broad range of topics, including but not limited to:

*	Architecture and framework design for crowdsensing
*	Theoretic foundations of crowdsensing
*	Participatory and opportunistic sensing
*	Crowdsensing data communication and sharing
*	Algorithm design for sensing scheduling
*	Big crowdsensing data processing, storage, and mining
*	Sensing resource management in crowdsensing
*	Economic systems and incentive mechanisms for crowdsensing
*	Security, privacy preservation, and trust management in crowdsensing
*	Social and psychological issues in crowdsensing
*	Novel applications of crowdsensing
*	Experience reports and studies of crowdsensing systems

 

 

Important Dates

Technical Papers Due:             June 1, 2015

Acceptance Notification:        June 15, 2015

Camera Ready Due:                June 30, 2015

 

Submission guidelines:

Submissions must include abstract, keywords, the e-mail address of the
corresponding author and should not exceed 8 pages, including tables and
figures in IEEE CS format. The template files for LATEX or WORD can be
downloaded from the following link:

 
<http://www.ieee.org/conferences_events/conferences/publishing/templates.htm
l>
http://www.ieee.org/conferences_events/conferences/publishing/templates.html

 

All paper submissions must represent original and unpublished work. Each
submission will be peer reviewed by at least three program committee
members. Submission of a paper should be regarded as an undertaking that,
should the paper be accepted, at least one of the authors will register for
the conference and present the work.

 

Submit your paper(s) at the submission site:

 <https://easychair.org/conferences/?conf=ibdc2015>
https://easychair.org/conferences/?conf=ibdc2015

 

Selected papers in the workshop will be recommended to be published in SCI
or EI journals.

 

General Chair

Guihai Chen               Shanghai Jiao Tong University, China

 

TPC Co-Chairs

Fan Wu                       Shanghai Jiao Tong University, China

                                   fwu at cs.sjtu.edu.cn

Liang Liu                   Beijing University of Posts and
Telecommunications, China

                                   liangliu82 at gmail.com

Lei Xie                       Nanjing University, China

                                   lxie at nju.edu.cn

 

 

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